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- knowledge-based decision support systems. The book provides comprehensive, knowledge-based decision support systems for a business-oriented audience.;
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, Laboratory-based CDS programs, Decision Support in Blood Banking, Decision Support in Molecular Pathology, A Computational Perspective on Decision;
Vergelijkbare producten zoals Clinical Decision Support: Tools, Strategies, and Emerging Technologies, An Issue of the Clinics in Laboratory Medicine
of 60 submissions. They were organized in topical sections as follows: decision support, information systems and NLP; big data, datamining, Web;
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This book is an attempt to establish in the readers the importance of creating interoperable data st;...
Vergelijkbare producten zoals Understanding Semantics-Based Decision Support
illustrated only by simple examples. Moreover, the integration of model-based decision support methodologies and tools with specialized model-based;
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decision support based on up-to-date preferences. The designed support component is compared to two state-of-the-art approaches for decision;
Vergelijkbare producten zoals Dynamic Decision Support for Electronic Requirements Negotiations
, biodiversity science, interactive healthcare, intelligent agent systems, decision support systems, and clinical natural language processing ;
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, including sampling-based techniques. We also discuss supporting rank join queries on uncertain data, and we show how to extend current rank join;
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User interface is one of the most important components for decision support systems since it directly faces to the end users: decision;
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focusing on technology's contributions to nursing theory and practice, nursing systems management, and decision-support in nursing.;
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This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision;
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Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software;
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A study of human understanding of animate nature, from an archaeological and anthropological viewpoint. It is based on papers given at the;
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of representation of knowledge in AI systems have not changed a lot. The researches of these aspects of cognitive semantics of AI are based on the author's;
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Genetic algorithms Probability-based systems and fuzzy systems Evaluation and validation of decision support aids;
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presents support for and challenges to current formal analyses of these phenomena in view of experimentally collected data, highlighting the ways;
Vergelijkbare producten zoals The Semantics of Gradability, Vagueness, and Scale Structure
, and discourse, and offers a uniform framework based on feature-based context-free grammars and chart parsers used for syntactic and semantic;
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Concerns computer-based information systems that can affect the decision making behavior of their users. It tells the reader how to;
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Analysis * On Knowledge-Based Digital Ecosystems & Technologies for Smart and Intelligent Decision Support Systems * Soft Computing Models;
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. The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013;
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, including sampling-based techniques. We also discuss supporting rank join queries on uncertain data, and we show how to extend current rank join;
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Raskin's scholarship has spanned for decades. The obvious connecting idea is the encyclopedic script-based foundation of lexical meaning, which;
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of alternative-based semantics, from both theoretical and experimental perspectives.;
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retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or;
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Predominantly, whole-life costing is focused on optimising cost. In this book, the authors propose a value-based decision-making technique;
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. The book is based on the discussions at the Shonan meeting on this topic held in 2016, and includes contributions from the participants;
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